Matthew S. Weber

1.8k total citations · 1 hit paper
53 papers, 987 citations indexed

About

Matthew S. Weber is a scholar working on Communication, Sociology and Political Science and Information Systems. According to data from OpenAlex, Matthew S. Weber has authored 53 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Communication, 13 papers in Sociology and Political Science and 9 papers in Information Systems. Recurrent topics in Matthew S. Weber's work include Social Media and Politics (11 papers), Knowledge Management and Sharing (9 papers) and Media Studies and Communication (7 papers). Matthew S. Weber is often cited by papers focused on Social Media and Politics (11 papers), Knowledge Management and Sharing (9 papers) and Media Studies and Communication (7 papers). Matthew S. Weber collaborates with scholars based in United States, Netherlands and Germany. Matthew S. Weber's co-authors include Jennifer L. Gibbs, Nicole B. Ellison, Peter R. Monge, Itzhak Yanovitzky, François Bar, Wei Shi, Janet Fulk, Philip O. Yund, Jonathan H. Grabowski and Heewon Kim and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and International Journal of Coal Geology.

In The Last Decade

Matthew S. Weber

47 papers receiving 928 citations

Hit Papers

The Use of Enterprise Social Network Sites for Knowledge ... 2014 2026 2018 2022 2014 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Use of Enterprise Social Network Sites for Knowledge Sharing in Distributed Organizations
    2014 277 citations Nicole B. Ellison, Jennifer L. Gibbs et al. American Behavioral Scientist profile →

Peers

Matthew S. Weber
Dave Yates United States
Yoonjae Nam South Korea
Panos Panagiotopoulos United Kingdom
Erik Johnston United States
Kirsten Foot United States
Gilad Ravid Israel
Fred Turner United States
Dimitrina Dimitrova Canada
Sorin Adam Matei United States
Chih‐Hui Lai United States
Dave Yates United States
Matthew S. Weber
Citations per year, relative to Matthew S. Weber Matthew S. Weber (= 1×) peers Dave Yates

Countries citing papers authored by Matthew S. Weber

Since Specialization
Citations

This map shows the geographic impact of Matthew S. Weber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew S. Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Weber more than expected).

Fields of papers citing papers by Matthew S. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Weber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew S. Weber. The network helps show where Matthew S. Weber may publish in the future.

Co-authorship network of co-authors of Matthew S. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Weber. A scholar is included among the top collaborators of Matthew S. Weber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew S. Weber. Matthew S. Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barker, Kash, Elena Bessarabova, Sridhar Radhakrishnan, et al.. (2025). Risk analysis of disinformation weaponized against critical networks. Risk Analysis. 45(12). 4088–4096.
2.
Waldherr, Annie, Matthew S. Weber, Shangyuan Wu, et al.. (2024). Between Innovation and Standardization: Best Practices and Inclusive Guidelines in Computational Communication Science. Journalism & Mass Communication Quarterly. 102(1). 13–36. 2 indexed citations
3.
Weber, Matthew S. & Eddy Borges-Rey. (2024). Re-opening the Black Box of Code in the Era of Digital Technology. Digital Journalism. 12(7). 1068–1076. 2 indexed citations
4.
Weber, Matthew S., et al.. (2024). In Code We Trust? Assessing Code’s Role as a Mediator of Power and Ethics Within Journalistic Practice. Digital Journalism. 12(7). 914–925.
5.
Weber, Matthew S. & Jeffrey W. Treem. (2024). Organizational Metrics of Technology Use and the Transparency Paradox. Management Communication Quarterly. 39(3). 499–530.
6.
Weber, Matthew S., et al.. (2023). Testing Multiple Methods to Effectively Promote Use of a Knowledge Portal to Health Policy Makers: Quasi-Experimental Evaluation. Journal of Medical Internet Research. 25. e41997–e41997. 1 indexed citations
7.
8.
Weber, Matthew S., et al.. (2020). Innovation in Public Funding for Local Journalism: A Case Study of New Jersey’s 2018 Civic Information Bill. Digital Journalism. 8(6). 740–757. 10 indexed citations
9.
Weber, Matthew S., et al.. (2018). Managing a 21st-Century Newsroom Workforce: A Case Study of NYC News Media. Columbia Academic Commons (Columbia University). 9 indexed citations
10.
Weber, Matthew S. & Philip M. Napoli. (2018). Journalism History, Web Archives, and New Methods for Understanding the Evolution of Digital Journalism. Digital Journalism. 6(9). 1186–1205. 6 indexed citations
11.
Weber, Matthew S., et al.. (2018). Transformation of a Modern Newsroom Workforce. Journalism Practice. 13(4). 431–457. 24 indexed citations
12.
Weber, Matthew S., et al.. (2017). Imitation in the quest to survive: Lessons from news media on the early web. International journal of communication. 11. 25.
13.
Brügger, Niels, Elisabetta Locatelli, Matthew S. Weber, & Federico Nanni. (2017). Web 25: histories from the first 25 years of the World Wide Web. 1–19. 27 indexed citations
14.
Nguyen, Thi Hong Hai & Matthew S. Weber. (2015). Internet Archives as a Tool for Research: Decay in Large Scale Archival Records. 724–727. 1 indexed citations
15.
Ellison, Nicole B., Jennifer L. Gibbs, & Matthew S. Weber. (2014). The Use of Enterprise Social Network Sites for Knowledge Sharing in Distributed Organizations. American Behavioral Scientist. 59(1). 103–123. 277 indexed citations breakdown →
16.
Weber, Matthew S.. (2014). Observing the web by understanding the past. 1031–1036. 3 indexed citations
17.
Weber, Matthew S., et al.. (2013). Balancing Adder for error tolerant applications. 3038–3041. 19 indexed citations
18.
Weber, Matthew S., et al.. (2012). Impact of geological complexity of the Fruitland Formation on combined CO2 enhanced recovery/sequestration at San Juan Basin pilot site. International Journal of Coal Geology. 104. 46–58. 11 indexed citations
19.
Weber, Matthew S. & Jonathon N. Cummings. (2012). Revisiting Interdependence in Multinational Firms: Collaborative Technology and Changes in Team Work. Academy of Management Proceedings. 2012(1). 15101–15101. 1 indexed citations
20.
Grabowski, Jonathan H., et al.. (2010). Use of Herring Bait to Farm Lobsters in the Gulf of Maine. PLoS ONE. 5(4). e10188–e10188. 60 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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